. Affectiva, The affectiva Emotion SDK and API. Affectiva documentation, 2018.

A. Agrawal and A. An, Unsupervised emotion detection from text using semantic and syntactic relations, ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology, vol.01, pp.346-353, 2012.

A. M. Anteneh and B. Wubshete, A Comparative Study on Implementation of Aesthetics Education in Selected Government and Private School in Debremarkos Town, Education Journal, vol.3, issue.1, pp.15-23, 2014.

M. Bakaev, K. Lee, and H. I. Cheng, The aesthetic and emotional preferences of the elderly and the design factors for e-business web sites, The Eighth PanPacific Conference on Occupational Ergonomics, 2007.

S. Bataoui, Vers une forme d'humanisation des interfaces digitales : transposition du concept d'hospitalité au commerce électronique et impact de ses dimensions sur les réactions affectives, l'absorption cognitive et les comportements des consommateurs (phdthesis), 2017.

S. Becker, C. Canal, J. M. Murillo, P. Poizat, and M. Tivoli, Run time and design time issues on implementing software adaptors. Proc. 2nd Int. Workshop Coordination Adapt, 2005.

C. Becker-asano, WASABI: Affect simulation for agents with believable interactivity, vol.319, 2008.

I. Benbasat and W. Wang, Trust in and adoption of online recommendation agents, Journal of the association for information systems, vol.6, issue.3, p.4, 2005.

A. Ben-ze'ev, The subtlety of emotions, 2000.

R. Bernhaupt, User experience evaluation in entertainment. Evaluating user experience in games, pp.3-7, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01596944

N. Bernstein, Coordination and regulation of movement Pergamon Press, 1967.

G. Bijlstra and R. Dotsch, FaceReader 4 emotion classification performance on images from the Radboud Faces Database. Unpublished manuscript, Department of Social and Cultural Psychology, 2011.

P. Biswas, S. Bhattacharya, and D. Samanta, User model to design adaptable interfaces for motor-impaired users, IEEE Region, vol.10, pp.1-6, 2005.

M. M. Bradley and P. J. Lang, Measuring emotion: the self-assessment manikin and the semantic differential, Journal of behavior therapy and experimental psychiatry, vol.25, issue.1, pp.49-59, 1994.

S. Brave and C. Nass, Emotion in Human-Computer Interaction. The HumanComputer Interaction Handbook, pp.113-128, 2002.

G. Brodny, A. Ko\lakowska, A. Landowska, M. Szwoch, W. Szwoch et al., Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions, pp.397-404, 2016.

. Ieee and . Retrieved, , 2017.

D. Browne, Chapter 7 -Conclusions, pp.195-222, 1990.

P. E. Bull, Posture and Gesture, vol.16, 1987.

G. Calvary, J. Coutaz, D. Thevenin, Q. Limbourg, L. Bouillon et al., A unifying reference framework for multi-target user interfaces, Interacting with computers, vol.15, issue.3, pp.289-308, 2003.

G. Calvary, J. Coutaz, D. Thevenin, Q. Limbourg, N. Souchon et al., Plasticity of user interfaces: A revisited reference framework. In Task Models and Diagrams for User Interface Design, Citeseer, 2002.

R. A. Calvo and S. Mello, Affect detection: An interdisciplinary review of models, methods, and their applications, IEEE Transactions on affective computing, vol.1, issue.1, pp.18-37, 2010.

S. Carberry and F. D. Rosis, Affective modeling and adaptation, User Modeling and User-Adapted Interaction, vol.18, issue.2, pp.1-9, 2008.

J. Cassell, J. Sullivan, S. Prevost, and E. Churchill, Embodied conversational agents Cambridge, 2000.

G. Castellano, S. D. Villalba, and A. Camurri, Recognising human emotions from body movement and gesture dynamics, International Conference on Affective Computing and Intelligent Interaction, pp.71-82, 2007.

E. Céret, S. Dupuy-chessa, G. Calvary, and M. Bittar, System and method for magnetic adaptation of a user interface, 2016.

B. Chawda, B. Craft, P. Cairns, D. Heesch, and S. Rüger, Do "attractive things work better"? An exploration of search tool visualisations, 2005.

C. Chen, The CiteSpace Manual (Version 0.65), 2014.

C. M. Cheung and M. K. Lee, Understanding consumer trust in Internet shopping: A multidisciplinary approach, Journal of the Association for Information Science and Technology, vol.57, issue.4, pp.479-492, 2006.

C. Chung and J. W. Pennebaker, The psychological functions of function words, vol.1, pp.343-359, 2007.

J. A. Cleland, A. J. Lee, and S. Hall, Associations of depression and anxiety with gender, age, health-related quality of life and symptoms in primary care COPD patients, Family practice, vol.24, issue.3, pp.217-223, 2007.

C. Dissonance, Progress on a pivotal theory in social psychology, Science conference series, 1999.

M. Coulson, Attributing emotion to static body postures: Recognition accuracy, confusions, and viewpoint dependence, Journal of nonverbal behavior, vol.28, issue.2, pp.117-139, 2004.

C. K. Coursaris, S. J. Swierenga, and G. L. Pierce, Effects of Aesthetics and Playfulness on Web Usability-An empirical investigation, AMCIS, p.549, 2010.

R. Cowie, E. Douglas-cowie, N. Tsapatsoulis, G. Votsis, S. Kollias et al., Emotion recognition in human-computer interaction, IEEE Signal Processing Magazine, vol.18, issue.1, pp.32-80, 2001.

D. Cyr and C. Bonanni, Gender and website design in e-business, International Journal of Electronic Business, vol.3, issue.6, pp.565-582, 2005.

D. Cyr, M. Head, and A. Ivanov, Perceived interactivity leading to e-loyalty: Development of a model for cognitive-affective user responses, International Journal of Human-computer studies, vol.67, issue.10, pp.850-869, 2009.

D. Cyr, M. Head, H. Larios, and B. Pan, Exploring human images in website design: a multi-method approach, MIS quarterly, pp.539-566, 2009.

A. Damasio and G. B. Carvalho, The nature of feelings: evolutionary and neurobiological origins, Nature Reviews Neuroscience, vol.14, issue.2, p.143, 2013.

A. R. Damasio, The feeling of what happens: Body and emotion in the making of consciousness, 1994.

A. De-angeli, A. Sutcliffe, and J. Hartmann, Interaction, usability and aesthetics: what influences users' preferences? Proceedings of the 6th conference on Designing Interactive systems, pp.271-280, 2006.

D. Bellis and N. , Bibliometrics and citation analysis: from the science citation index to cybermetrics, 2009.

D. Meijer and M. , The contribution of general features of body movement to the attribution of emotions, Journal of Nonverbal behavior, vol.13, issue.4, pp.247-268, 1989.

J. C. Deckert, E. B. Entin, E. E. Entin, J. Macmillan, and D. Serfaty, Military Command Decisionmaking Expertise, 1994.

, Similarity matrix. Dictionary of deep artificiel intelligence, 2017.

R. Descartes, Les passions de l'âme (1649), 1953.

R. S. Deshmukh and V. Jagtap, A survey: Software API and database for emotion recognition, Intelligent Computing and Control Systems, p.2017, 2017.

, International Conference on, pp.284-289

F. M. Deutsch, Status, sex, and smiling: The effect of role on smiling in men and women, Personality and Social Psychology Bulletin, vol.16, issue.3, pp.531-540, 1990.

K. Diaz, Yokoi Kenji Diaz | Conferencias | Pasión y Disciplina, 2018.

E. Diener, E. Sandvik, and R. J. Larsen, Age and sex effects for emotional intensity, Developmental Psychology, vol.21, issue.3, p.542, 1985.

I. Dis, Ergonomics of human system interaction-Part 210: Human-centred design for interactive systems, pp.9241-210, 2009.

M. Dittmar, Changing colour preferences with ageing: A comparative study on younger and older native Germans aged 19-90 years, Gerontology, vol.47, issue.4, pp.219-226, 2001.

S. Djamasbi, M. Siegel, and T. Tullis, Generation Y, web design, and eye tracking, International journal of human-computer studies, vol.68, issue.5, pp.307-323, 2010.

S. Dupuy-chessa, Y. Laurillau, and E. Céret, Considering aesthetics and usability temporalities in a model based development process. Actes de la 28ième conférence francophone sur l'Interaction Homme-Machine, pp.25-35, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01383714

F. Eelke, Interaction Design Patterns. Interaction Design Patterns, 2015.

V. Eero, Speech analysis, 2016.

V. Eero, Gestures analysis, 2016.

P. Ekkekakis, The measurement of affect, mood, and emotion: A guide for healthbehavioral research, 2013.

P. Ekman, An argument for basic emotions, Cognition & emotion, vol.6, pp.169-200, 1992.

P. Ekman, Basic emotions. Handbook of cognition and emotion, pp.45-60, 1999.

P. Ekman, Emotions revealed: Recognizing faces and feelings to improve communication and emotional life, 2007.

P. Ekman and W. V. Friesen, A new pan-cultural facial expression of emotion, Motivation and emotion, vol.10, issue.2, pp.159-168, 1986.

P. Ekman and D. Keltner, Universal facial expressions of emotion, California mental health research digest, vol.8, issue.4, pp.151-158, 1970.

J. Engel and C. Märtin, PaMGIS: a framework for pattern-based modeling and generation of interactive systems, International Conference on Human-Computer Interaction, pp.826-835, 2009.

J. Engel, C. Märtin, and P. Forbrig, A Concerted Model-driven and Pattern-based Framework for Developing User Interfaces of Interactive Ubiquitous Applications, pp.35-41, 2015.

K. D. Ersche, C. C. Hagan, D. G. Smith, P. S. Jones, A. J. Calder et al., In the face of threat: neural and endocrine correlates of impaired facial emotion recognition in cocaine dependence, Translational psychiatry, vol.5, issue.5, p.570, 2015.

V. Eyharabide and A. Amandi, Ontology-based user profile learning, Applied Intelligence, vol.36, issue.4, pp.857-869, 2012.

A. Faiola, C. Ho, M. D. Tarrant, and K. F. Macdorman, The aesthetic dimensions of US and South Korean responses to web home pages: A crosscultural comparison, Intl. Journal of Human-Computer Interaction, vol.27, issue.2, pp.131-150, 2011.

R. M. Farr, Wilhelm Wundt (1832-1920) and the origins of psychology as an experimental and social science, British Journal of Social Psychology, vol.22, issue.4, pp.289-301, 1983.

C. Flavián, M. Guinalíu, and R. Gurrea, The role played by perceived usability, satisfaction and consumer trust on website loyalty, Information & Management, vol.43, issue.1, pp.1-14, 2006.

B. J. Fogg, C. Soohoo, D. Danielsen, L. Marable, and J. Stanford, How do people evaluate a web sites credibility, 2002.

D. Foley and R. Reilly, An Evaluation of Convolutional Neural Network Models for Object Detection in Images on Low-End Devices

K. Forbes-riley and D. Litman, Designing and evaluating a wizarded uncertaintyadaptive spoken dialogue tutoring system, Computer Speech & Language, vol.25, pp.105-126, 2011.

J. Forlizzi and K. Battarbee, Understanding experience in interactive systems, Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques, pp.261-268, 2004.

B. J. Frey and D. Dueck, Clustering by passing messages between data points. science, vol.315, pp.972-976, 2007.

E. Friesen and P. Ekman, Facial action coding system: a technique for the measurement of facial movement, 1978.

N. H. Frijda, Moods, emotion episodes, and emotions, 1993.

N. H. Frijda, Varieties of affect: Emotions and episodes, moods, and sentiments, 1994.

N. H. Frijda, Emotions and action. Feelings and emotions: The Amsterdam symposium, pp.158-173, 2004.

K. Gajos and D. S. Weld, SUPPLE: automatically generating user interfaces, Proceedings of the 9th international conference on Intelligent user interfaces, pp.93-100, 2004.

J. A. Galindo, É. Céret, and S. Dupuy-chessa, Toward a generic architecture for UI adaptation to emotions, 29ème conférence francophone sur l'Interaction Homme-Machine (p. 10 p.), 2017.
URL : https://hal.archives-ouvertes.fr/hal-01578221

J. A. Galindo, S. Dupuy-chessa, and É. Céret, Toward a UI Adaptation Approach Driven by User Emotions, The Tenth International Conference on Advances in Computer-Human Interactions, pp.12-17, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01720940

J. A. Galindo, S. Dupuy-chessa, E. Céret, and N. Mandran, Using user emotions to trigger UI adaptation, RCIS18, the 12th International Conference on Research Challenges in Information Science, pp.12-17, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01824406

J. A. Galindo, N. Mandran, S. Dupuy-chessa, and E. Céret, * Face emotion recognition: the impact of aesthetics and usability on detected emotions depending on age and gender, 2019.

W. O. Galitz, The essential guide to user interface design: an introduction to GUI design principles and techniques, 2007.

P. V. Gent, Emotion Recognition With Python, OpenCV and a Face DatasetPaulvanGent, 2016.

J. M. George, Trait and state affect. Individual differences and behavior in organizations, pp.145-171, 1996.

B. Gheran, J. Vanderdonckt, and R. Vatavu, Gestures for smart rings: Empirical results, insights, and design implications, Proceedings of the 2018 on Designing Interactive Systems Conference, pp.623-635, 2018.

A. J. Gill, R. M. French, D. Gergle, and J. Oberlander, Identifying emotional characteristics from short blog texts, Proc. 30th Ann. Conf. Cognitive Science, pp.2237-2242, 2008.

M. Gjoreski, H. Gjoreski, and A. Kulakov,

P. Goldie, Explaining expressions of emotion. Mind, vol.109, pp.25-38, 2000.

, Google Emotion API. Google Cloud, 2015.

W. R. Gove, The effect of age and gender on deviant behavior: A biopsychosocial perspective. Gender and the life course, pp.115-144, 1985.

A. C. Graesser, S. K. Mello, S. D. Craig, A. Witherspoon, J. Sullins et al., The relationship between affective states and dialog patterns during interactions with AutoTutor, Journal of Interactive Learning Research, vol.19, issue.2, p.293, 2008.

J. J. Gross, Handbook of emotion regulation, 2013.

Z. Guoying, Introduction to Affective Computing, 2016.

R. C. Gur, F. Gunning-dixon, W. B. Bilker, and R. E. Gur, Sex differences in temporo-limbic and frontal brain volumes of healthy adults, Cerebral cortex, vol.12, issue.9, pp.998-1003, 2002.

J. Harrigan, R. Rosenthal, and K. Scherer, New handbook of methods in nonverbal behavior research, 2008.

C. M. Harrison, Exploring emotional web experience: More than just usability and good design, 2008.

M. Hartmann, D. Schreiber, and M. Mühlhäuser, AUGUR: providing contextaware interaction support, Proceedings of the 1st ACM SIGCHI symposium on Engineering interactive computing systems, pp.123-132, 2009.

M. Hassenzahl, S. Diefenbach, and A. Göritz, Needs, affect, and interactive products-Facets of user experience, Interacting with computers, vol.22, issue.5, pp.353-362, 2010.

M. Hassenzahl and N. Tractinsky, User experience-a research agenda, Behaviour & information technology, vol.25, issue.2, pp.91-97, 2006.

M. Hassenzahl and N. Tractinsky, User experience-a research agenda, Behaviour & information technology, vol.25, issue.2, pp.91-97, 2006.

D. Heckmann, T. Schwartz, B. Brandherm, M. Schmitz, and M. Wilamowitzmoellendorff, Gumo-the general user model ontology. User modeling, pp.428-432, 2005.

A. Herbon, C. Peter, L. Markert, E. Van-der-meer, and J. Voskamp, Emotion studies in HCI-a new approach, Proceedings of the 2005 HCI International Conference, 2005.

L. W. Hoffman, Early childhood experiences and women's achievement motives, Journal of Social Issues, vol.28, issue.2, pp.129-155, 1972.

K. Hook, Affective Computing. The Interaction Design Foundation, 2012.

E. Horvitz, J. Breese, D. Heckerman, D. Hovel, and K. Rommelse, The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users, Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence, pp.256-265, 1998.

H. Hotelling, Analysis of a complex of statistical variables into principal components, Journal of educational psychology, vol.24, issue.6, p.417, 1933.

E. Hudlicka and M. D. Mcneese, Assessment of user affective and belief states for interface adaptation: Application to an Air Force pilot task, User Modeling and User-Adapted Interaction, vol.12, issue.1, pp.1-47, 2002.

D. Hume, What is Aesthetics? The Interaction Design Foundation, pp.258-297, 2012.

, What is Usability? The Interaction Design Foundation, 2015.

, Music therapy, International Chiropractic Pediatric Association, 2005.

M. I. Ishag, K. S. Ryu, J. Y. Lee, and K. H. Ryu, Event Detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data, 2018.

, Modern Approaches for Intelligent Information and Database Systems, pp.99-112

. Iso, ISO 25010 software product quality, 2011.

, Ergonomics of human-system interaction -Part 11: Usability: Definitions and concepts, 2018.

M. Isomursu, M. Tähti, S. Väinämö, and K. Kuutti, Experimental evaluation of five methods for collecting emotions in field settings with mobile applications, International Journal of Human-Computer Studies, vol.65, issue.4, pp.404-418, 2007.

J. H. Janssen, E. L. Van-den-broek, and J. H. Westerink, Tune in to your emotions: a robust personalized affective music player, User Modeling and UserAdapted Interaction, vol.22, issue.3, pp.255-279, 2012.

B. Jiang, M. F. Valstar, and M. Pantic, Action unit detection using sparse appearance descriptors in space-time video volumes. Face and Gesture, pp.314-321, 2011.

T. Joachims, L. Granka, B. Pan, H. Hembrooke, and G. Gay, Accurately interpreting clickthrough data as implicit feedback, ACM SIGIR Forum, vol.51, pp.4-11, 2017.

I. T. Jolliffe, Mathematical and statistical properties of population principal components, pp.10-28, 2002.

. Kairos, Kairos API for human analytics, Kairos, 2016.

J. Kalita and K. Das, Recognition of Facial Expression Using Eigenvector Based Distributed Features and Euclidean Distance Based Decision Making Technique, 2013.

T. Kanade, Y. Tian, and J. F. Cohn, Comprehensive database for facial expression analysis, p.46, 2000.

D. Keltner, P. Ekman, G. C. Gonzaga, and J. Beer, Facial expression of emotion, 2003.

P. Kesenci, Demonstration of face emotion detection by using Kairos, 2018.

S. R. Khanal, J. Barroso, N. Lopes, J. Sampaio, and V. Filipe, Performance analysis of Microsoft's and Google's Emotion Recognition API using poseinvariant faces, Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Infoexclusion, pp.172-178, 2018.

J. Kim, J. Lee, and D. Choi, Designing emotionally evocative homepages: an empirical study of the quantitative relations between design factors and emotional dimensions, International Journal of Human-Computer Studies, vol.59, issue.6, pp.899-940, 2003.

E. Knutov, P. De-bra, and M. Pechenizkiy, AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques. New Review of Hypermedia and Multimedia, vol.15, pp.5-38, 2009.

S. X. Komiak and I. Benbasat, Understanding customer trust in agent-mediated electronic commerce, web-mediated electronic commerce, and traditional commerce, Information Technology and Management, vol.5, issue.2, pp.181-207, 2004.

A. Konar and A. Chakraborty, Emotion recognition: A pattern analysis approach, 2014.

M. Koufaris and W. Hampton-sosa, The development of initial trust in an online company by new customers, Information & management, vol.41, issue.3, pp.377-397, 2004.

B. Krulwich, Lifestyle finder: Intelligent user profiling using large-scale demographic data, AI magazine, vol.18, issue.2, p.37, 1997.

A. Krzywicki, W. Wobcke, and A. Wong, An adaptive calendar assistant using pattern mining for user preference modelling, Proceedings of the 15th international conference on Intelligent user interfaces, pp.71-80, 2010.

M. Lafrance and M. Banaji, Toward a reconsideration of the gender-emotion relationship, Emotion and social behavior, vol.14, pp.178-201, 1992.

O. Langner, R. Dotsch, G. Bijlstra, D. H. Wigboldus, S. T. Hawk et al., Presentation and validation of the Radboud Faces Database, Cognition and emotion, vol.24, issue.8, pp.1377-1388, 2010.

R. J. Larsen and E. Diener, Affect intensity as an individual difference characteristic: A review, Journal of Research in personality, vol.21, issue.1, pp.1-39, 1987.

T. Lavie and N. Tractinsky, Assessing dimensions of perceived visual aesthetics of web sites, International journal of human-computer studies, vol.60, issue.3, pp.269-298, 2004.

E. L. Law, .. Roto, V. Hassenzahl, M. Vermeeren, A. P. Kort et al., , 2009.

, Understanding, scoping and defining user experience: a survey approach, Proceedings of the SIGCHI conference on human factors in computing systems, pp.719-728

J. Lazar, J. H. Feng, and H. Hochheiser, Research Methods in Human-Computer Interaction, 2009.

L. Lebart, A. Piron, M. Lebart, A. Morineau, and M. Piron, , 2000.

J. E. Ledoux, Emotion: Clues from the brain, Annual review of psychology, vol.46, issue.1, pp.209-235, 1995.

Y. Lee and K. A. Kozar, Designing usable online stores: A landscape preference perspective, Information & Management, vol.46, issue.1, pp.31-41, 2009.

G. Lindgaard and C. Dudek, What is this evasive beast we call user satisfaction?, Interacting with computers, vol.15, issue.3, pp.429-452, 2003.

G. Lindgaard, G. Fernandes, C. Dudek, and J. Brown, Attention web designers: You have 50 milliseconds to make a good first impression!, Behaviour & information technology, vol.25, issue.2, pp.115-126, 2006.

C. L. Lisetti and F. Nasoz, MAUI: a multimodal affective user interface, Proceedings of the tenth ACM international conference on Multimedia, pp.161-170, 2002.

H. Liu, H. Lieberman, and T. Selker, A model of textual affect sensing using realworld knowledge, Proceedings of the 8th international conference on Intelligent user interfaces, pp.125-132, 2003.

L. Loijens and O. Krips, FaceReader methodology, 2008.

V. López-jaquero, J. Vanderdonckt, F. Montero, and P. González, Towards an Extended Model of User Interface Adaptation: The I satine Framework, IFIP International Conference on Engineering for Human-Computer Interaction, pp.374-392, 2007.

P. B. Lowry, J. Gaskin, N. Twyman, B. Hammer, and T. L. Roberts, Proposing the hedonic-motivation system adoption model (HMSAM) to increase understanding of adoption of hedonically motivated systems, Journal of the Association for Information Systems, vol.14, issue.11, pp.617-671, 2013.

P. Lucey, J. F. Cohn, I. Matthews, S. Lucey, S. Sridharan et al.,

M. , Automatically detecting pain in video through facial action units, 2011.

, IEEE Transactions on Systems, Man, and Cybernetics, vol.41, issue.3, pp.664-674

N. Mandran, THEDRE : Traceable Human Experiment Design Research (Theses), 2017.

, OpenCV and Emotion Recognition Using Intel Galileo Gen 2. BytesThink, 2016.

K. V. Mardia, J. T. Kent, and J. M. Bibby, , 1979.

C. Märtin, C. Herdin, and J. Engel, Model-based User-Interface Adaptation by Exploiting Situations, Emotions and Software Patterns. International Conference on Computer-Human Interaction Research and Applications, 2017.

A. Mathews, E. Fox, J. Yiend, and A. Calder, The face of fear: Effects of eye gaze and emotion on visual attention, Visual Cognition, vol.10, issue.7, pp.823-835, 2003.

D. Mcduff, A. Mahmoud, M. Mavadati, M. Amr, J. Turcot et al., AFFDEX SDK: a cross-platform real-time multi-face expression 197 recognition toolkit, Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp.3723-3726, 2016.

A. Mehrabian, Nonverbal communication. Routledge. merriam-webster, 2006.

S. Meudt, M. Schmidt-wack, F. Honold, F. Schüssel, M. Weber et al., Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction, Toward Robotic Socially Believable Behaving Systems -Volume I, vol.105, pp.73-103, 2016.

N. Mezhoudi, User interface adaptation based on user feedback and machine learning, Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion, pp.25-28, 2013.

E. Michailidou, S. Harper, and S. Bechhofer, Visual complexity and aesthetic perception of web pages, Proceedings of the 26th annual ACM international conference on Design of communication, pp.215-224, 2008.

. Microsoft and . Com, Microsoft Emotion API, 2016.

S. E. Middleton, D. C. De-roure, and N. R. Shadbolt, Capturing knowledge of user preferences: ontologies in recommender systems, Proceedings of the 1st international conference on Knowledge capture, pp.100-107, 2001.

G. A. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. J. Miller, Introduction to WordNet: An on-line lexical database, International journal of lexicography, vol.3, issue.4, pp.235-244, 1990.

K. Moran, The Aesthetic-Usability Effect, 2017.

G. Moss, R. Gunn, and J. Heller, Some men like it black, some women like it pink: consumer implications of differences in male and female website design, Journal of Consumer behaviour, vol.5, issue.4, pp.328-341, 2006.

F. Nack, T. Schiphorst, Z. Obrenovic, M. Kauwatjoe, S. De-bakker et al., Pillows as adaptive interfaces in ambient environments, Proceedings of the international workshop on Human-centered multimedia, pp.3-12, 2007.
URL : https://hal.archives-ouvertes.fr/hal-01502218

A. Retrieved, , 2016.

F. Nasoz, Adaptive intelligent user interfaces with emotion recognition, 2004.

F. Nasoz, Adaptive intelligent user interfaces with emotion recognition, 2004.

D. A. Norman, Introduction to this special section on beauty, goodness, and usability, Human-Computer Interaction, vol.19, issue.4, pp.311-318, 2004.

D. A. Norman, Emotional design: Why we love (or hate) everyday things, 2004.

K. Oatley, D. Keltner, and J. M. Jenkins, Understanding emotions, 2006.

R. Oppermann, From User-adaptive to Context-adaptive, Information Systems. icom, vol.4, issue.3, pp.4-14, 2005.

A. Ortony, The Cognitive Structure of Emotions (Reprint.), 1990.

J. Orwant, Massachusetts Institute of Technology, 1991.

C. E. Osgood, W. H. May, M. S. Miron, and M. S. Miron, Cross-cultural universals of affective meaning, vol.1, 1975.

C. E. Osgood and O. Tzeng, Language, meaning, and culture: The selected papers of CE Osgood, 1990.

E. Ozdemir and S. Kilic, Young Consumers' Perspectives of Website Visualization: A Gender Perspective -ProQuest, 2011.

J. W. Palmer, Web site usability, design, and performance metrics, Information systems research, vol.13, issue.2, pp.151-167, 2002.

M. Pantic and L. J. Rothkrantz, Automatic analysis of facial expressions: The state of the art, IEEE Transactions, vol.22, issue.12, pp.1424-1445, 2000.

M. Pantic, N. Sebe, J. F. Cohn, and T. Huang, Affective multimodal humancomputer interaction, Proceedings of the 13th annual ACM international conference on Multimedia, pp.669-676, 2005.

F. Paterno, User Interface design adaptation. The Encyclopedia of HumanComputer Interaction, 2013.

K. Pearson, LIII. On lines and planes of closest fit to systems of points in space, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, vol.2, issue.11, pp.559-572, 1901.

M. Peissner, D. Häbe, D. Janssen, and T. Sellner, MyUI: generating accessible user interfaces from multimodal design patterns, Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems, pp.81-90, 2012.

A. Retrieved, , 2016.

J. W. Pennebaker, M. E. Francis, and R. J. Booth, Linguistic inquiry and word count: LIWC 2001. Mahway, vol.71, p.2001, 2001.

R. W. Picard, , 1995.

L. Plonsky, Advancing quantitative methods in second language research, 2015.

R. Plutchik, The emotions, 1991.

R. Plutchik and H. Kellerman, of Emotion: Theory, Research, and Experience, Theories of Emotion, vol.1, 1980.

T. Porat and N. Tractinsky, It's a pleasure buying here: The effects of web-store design on consumers' emotions and attitudes, Human-Computer Interaction, vol.27, issue.3, pp.235-276, 2012.

K. Porayska-pomsta, M. Mavrikis, and H. Pain, Diagnosing and acting on student affect: the tutor's perspective, User Modeling and User-Adapted Interaction, vol.18, issue.2, pp.125-173, 2008.

J. Posner, J. A. Russell, and B. S. Peterson, The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology, Development and psychopathology, vol.17, issue.3, pp.715-734, 2005.

P. Rattanawicha and V. Esichaikul, What makes websites trustworthy? A twophase empirical study, International Journal of Electronic Business, vol.3, issue.2, pp.110-136, 2005.

, Dist function | R Documentation, 2015.

J. Redet, M. Vian, N. Esposito, and C. Tijus, Comparaison d'outils adaptés au terrain pour l'évaluation du ressenti à l'usage des ihm. Actes de Ergo'ia? ? ? ? (Conférence internationale en ergonomie et informatique avancée), 2016.

B. Reeves and C. Nass, How people treat computers, television, and new media like real people and places, 1996.

D. Robins and J. Holmes, Aesthetics and credibility in web site design, Information Processing & Management, vol.44, issue.1, pp.386-399, 2008.

D. C. Rubin and J. M. Talarico, A comparison of dimensional models of emotion: Evidence from emotions, prototypical events, autobiographical memories, and words, Memory, vol.17, issue.8, pp.802-808, 2009.

J. A. Russell, Core affect and the psychological construction of emotion, Psychological review, vol.110, issue.1, p.145, 2003.

J. A. Russell and L. F. Barrett, Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant, Journal of personality and social psychology, vol.76, issue.5, p.805, 1999.

J. A. Russell and J. M. Fernández-dols, The psychology of facial expression, 1997.

+. Dols and +. K. The+psychology+of+facial+expression.+cambridge,

M. J. Sánchez-franco and F. A. Martín-velicia, The interaction effects of ego involvement on the relationships between aesthetics, usability and commitment: an application to electronic banking services and virtual travel communities, 2011.

, Online Information Review, vol.35, issue.2, pp.194-216

M. J. Sanchez-franco and F. J. Rondan-cataluña, Virtual travel communities and customer loyalty: Customer purchase involvement and web site design, Electronic commerce research and applications, vol.9, issue.2, pp.171-182, 2010.

W. M. Sanjaya, D. Anggraeni, A. Juwardi, and M. Munawwaroh, Design of Real Time Facial Tracking and Expression Recognition for Human-Robot Interaction, Journal of Physics: Conference Series, vol.1090, p.12044, 2018.

M. L. Sanz-de-acedo-lizárraga, . Sanz-de-acedo, M. T. Baquedano, and M. Cardelle-elawar, Factors that affect decision making: gender and age differences, International Journal of Psychology and Psychological Therapy, vol.7, issue.3, p.204, 2007.

K. R. Scherer, What are emotions? And how can they be measured? Social science information, vol.44, pp.695-729, 2005.

K. R. Scherer, V. Shuman, J. Fontaine, and C. Soriano-salinas, The GRID meets the Wheel: Assessing emotional feeling via self-report, 2013.

K. Seo, S. Lee, B. D. Chung, and C. Park, Users' emotional valence, arousal, and engagement based on perceived usability and aesthetics for web sites, International Journal of Human-Computer Interaction, vol.31, issue.1, pp.72-87, 2015.

P. Shaver, J. Schwartz, D. Kirson, and C. Connor, Emotion knowledge: Further exploration of a prototype approach, Journal of personality and social psychology, vol.52, issue.6, p.1061, 1987.

S. J. Simon, The impact of culture and gender on web sites: an empirical study, ACM Sigmis Database, vol.32, issue.1, pp.18-37, 2000.

R. C. Solomon, Back to basics: On the very idea of "basic emotions, Journal for the theory of social behaviour, vol.32, issue.2, pp.115-144, 2002.

R. Sridhar, H. Wang, P. Mcallister, and H. Zheng, E-Bot: a facial recognition based human-robot emotion detection system, Proceedings of the 32nd International BCS Human Computer Interaction Conference, p.213, 2018.

J. E. Steenkamp and I. Geyskens, How country characteristics affect the perceived value of web sites, Journal of marketing, vol.70, issue.3, p.205, 2006.

B. R. Steunebrink, The Logical structure of emotions, 2010.

B. R. Steunebrink, The Logical structure of emotions, 2010.

D. Stevens, T. Charman, and R. J. Blair, Recognition of emotion in facial expressions and vocal tones in children with psychopathic tendencies, The Journal of genetic psychology, vol.162, issue.2, pp.201-211, 2001.

D. Stone, C. Jarrett, M. Woodroffe, and S. Minocha, User interface design and evaluation, 2005.

J. Strough, C. A. Berg, and C. Sansone, Goals for solving everyday problems across the life span: Age and gender differences in the salience of interpersonal concerns, Developmental Psychology, vol.32, issue.6, p.1106, 1996.

V. Svoboda, Adaptace UI/SW zalo?ena na stavu u?ivatele (B.S. thesis). ?eské vysoké u?ení technické v Praze. Vypo?etní a informa?ní centrum, 2018.

C. G. Thomas and M. Krogsaeter, An adaptive environment for the user interface of Excel, Proceedings of the 1st international conference on Intelligent user interfaces, pp.123-130, 1993.

N. Tractinsky, Aesthetics and apparent usability: empirically assessing cultural and methodological issues, Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, p.206, 1997.

N. Tractinsky, A. S. Katz, and D. Ikar, What is beautiful is usable, Interacting with computers, vol.13, issue.2, pp.127-145, 2000.

A. N. Tuch, S. P. Roth, K. Hornbaek, K. Opwis, and J. A. Bargas-avila, Is beautiful really usable? Toward understanding the relation between usability, aesthetics, and affect in HCI, Computers in Human Behavior, vol.28, issue.5, pp.1596-1607, 2012.

H. Van-der-heijden, Factors influencing the usage of websites: the case of a generic portal in The Netherlands, Information & management, vol.40, issue.6, pp.541-549, 2003.

M. Van-gerven, J. Farquhar, R. Schaefer, R. Vlek, J. Geuze et al., The brain-computer interface cycle, Journal of neural engineering, vol.6, issue.4, p.41001, 2009.

J. Vanderdonckt, Machine Learning for Improving Adaptive User Interfaces. Laboratoire d'Informatique de Grenoble, 2016.

J. Vanderdonckt, M. Zen, and R. Vatavu, AB4Web: An On-Line A/B Tester for Comparing User Interface Design Alternatives, Proceedings of ACM Hum.-Comput. Interact, vol.3, p.28, 2019.

B. Virdee-chapman, Better blockchain security, verify users with face recognition, Kairos, 2019.

R. D. Walk and K. L. Walters, Perception of the smile and other emotions of the body and face at different distances, 1988.

H. G. Wallbott and K. R. Scherer, Assessing emotion by questionnaire. The measurement of emotions, pp.55-82, 1989.

D. Watson, Mood and temperament, pp.7-9, 2000.

D. Watson and A. Tellegen, Toward a consensual structure of mood, Psychological bulletin, vol.98, issue.2, p.219, 1985.

W. Weintraub, Verbal behavior in everyday life, 1989.

H. M. Weiss and R. Cropanzano, Affective events theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. Research in organizational behavior: An annual series of analytical essays and critical reviews, vol.18, 1996.

M. Winckler, C. Bach, and R. Bernhaupt, Identifying user experience dimensions for mobile incident reporting in urban contexts, IEEE Transactions on Professional Communication, vol.56, issue.2, pp.97-119, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01154282

P. Wright and J. Mccarthy, Technology as experience, 2004.

Z. Zeng, M. Pantic, G. I. Roisman, and T. S. Huang, A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.1, pp.39-58, 2009.

P. Zhang, The affective response model: A theoretical framework of affective concepts and their relationships in the ict context, MIS quarterly, vol.37, issue.1, 2013.

M. Zuckerman, Behavioral expressions and biosocial bases of sensation seeking, 1994.

M. D. Van-der-zwaag, J. H. Westerink, . Van-den, and E. L. Broek, Emotional and psychophysiological responses to tempo, mode, and percussiveness, Musicae Scientiae, vol.15, issue.2, pp.250-269, 2011.